Senior Insights Analyst / Analytics Engineer
London, England, United Kingdom
Applications have closed
Florence
Make your working life in social care better and take control of your shifts, training or workforce management with Florence. We make social care outstanding.At Florence, we're on a mission to revolutionise health and social care staffing with innovative technology
Launched in 2017, we work with 90,000+ nurses, carers and support workers, 100,000 e-learners, and more than 2000 care providers across the UK. Nurses and carers have worked almost 1 million hours and earned more than £20 million by booking shifts through Florence.
We are a growing team, founded and led by a former doctor-turned-entrepreneur. With offices in London, Glasgow, Birmingham, Paris and Toronto, this is a really exciting time to join Florence and be part of a health tech company with a purpose.
Find out more about our mission to make care outstanding at www.florence.co.uk/about-us
We’re on the lookout for an enthusiastic and ambitious Senior Insights Analyst / Analytics Engineer to support the Data & Analytics team in developing analytics products for various business needs and delivering data-driven insights.
RESPONSIBILITIES
- Analysing key metrics and delivering insights to the stakeholders
- Creating, refactoring, and maintaining data models in dbt
- Collecting the requirements for, developing and maintaining dashboards in Looker
- Creating and maintaining data documentation including Looker dashboard descriptions, data dictionaries and process flows
- Completing ad-hoc data requests from different business units
Requirements
- Strong communication and presentation skills
- Strong interpersonal and teamwork skills
- Advanced knowledge of BigQuery or other SQL dialects
- Advanced knowledge of Looker (including LookML) or other data visualisation tools (Tableau, PowerBI)
- Understanding of query performance and database architecture
- Experience in building models and writing tests in dbt, including Jinja
- Understanding of various data modelling approaches (Snowflake, Star), ETL and ELT processes
- Experience in analysing data using Python and Hex is a plus
- Experience in using Fivetran is a plus
Benefits
- 25 days holidays plus bank holidays with option to purchase additional days
- Private healthcare insurance
- Enhanced maternity and paternity leave
- Cycle to Work Scheme
- Railcard scheme for under 30's
- Flexible personal benefits
- Wellness support
- Innovative, fun, friendly work environment
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture BigQuery dbt ELT ETL FiveTran Looker LookML Power BI Python Snowflake SQL Tableau
Perks/benefits: Flex hours Health care Parental leave
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